DocumentCode :
2450075
Title :
An Improved Color Image Representation Method by Using Direct Non-symmetry and Anti-packing Model with Triangles and Rectangles
Author :
Fang, ShaoHong ; Chen, Chuanbo ; Zheng, Yunping
Author_Institution :
Sch. of Software, Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
440
Lastpage :
443
Abstract :
Image representation is an important issue in computer graphics, computer vision, robotics, image processing and pattern recognition. In this paper, we proposed an improved color image representation method by using the direct non-symmetry and anti-packing model with triangles and rectangles (DNAMTR). Also, we propose an algorithm of the DNAMTR for color images and analyze the total data amount of the algorithm. By comparing the representation algorithm of the DNAMTR with those of the latest direct non-symmetry and anti-packing model (DNAM) and the popular linear quadtree, the experimental results presented in this paper show that the former can greatly reduce the numbers of subpatterns or nodes and simultaneously save the data storage much more effectively than the latter.
Keywords :
computational geometry; image colour analysis; image representation; quadtrees; storage management; antipacking model; color image representation method; computer graphics; computer vision; data storage; direct nonsymmetry; image processing; linear quadtree; pattern recognition; robotics; Algorithm design and analysis; Computer graphics; Computer vision; Data analysis; Image analysis; Image color analysis; Image processing; Image representation; Pattern recognition; Robot vision systems; color image representation; linear quadtree; non-symmetry and anti-packing mode; rectangle; triangle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
Type :
conf
DOI :
10.1109/JCAI.2009.38
Filename :
5159036
Link To Document :
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